Emanuele Frandi

KU Leuven — Belgium

Computer Science · Physical Sciences

6h-index114citations29works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

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Research Topics

Stochastic Gradient Optimization Techniques(10), Machine Learning and Algorithms(10), Statistical Methods and Inference(9), Sparse and Compressive Sensing Techniques(5), Stochastic processes and financial applications(3)

Publications29 total

Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso
Lecture notes in computer science·2017· 3 citedOpen Access
Fast and scalable Lasso via stochastic Frank–Wolfe methods with a convergence guarantee
Machine Learning·2016· 14 citedOpen Access
Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a\n Convergence Guarantee
arXiv (Cornell University)·2015Open Access
Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee
arXiv (Cornell University)·2015Open Access
Replication Data for: "Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee"
Harvard Dataverse·2015Open Access
A PARTAN-accelerated Frank-Wolfe algorithm for large-scale SVM classification
2015Open Access
Improving Direct Search algorithms by multilevel optimization techniques
Optimization methods & software·2015· 3 cited
A PARTAN-Accelerated Frank-Wolfe Algorithm for Large-Scale SVM\n Classification
arXiv (Cornell University)·2015Open Access
synthetic_dim50000_relevant500_n400.with_Noise.train.txtt
Harvard Dataverse·2015Open Access
E2006.train.txt
Harvard Dataverse·2015Open Access
synthetic_dim50000_relevant500_n400.with_Noise.test.txtt
Harvard Dataverse·2015Open Access
log1p.test.txt
Harvard Dataverse·2015Open Access
synthetic_dim10000_relevant32_n400.with_Noise.train.txtt
Harvard Dataverse·2015Open Access
E2006.test.txt
Harvard Dataverse·2015Open Access
synthetic_dim50000_relevant158_n400.with_Noise.train.txtt
Harvard Dataverse·2015Open Access
synthetic_dim10000_relevant100_n400.with_Noise.train.txtt
Harvard Dataverse·2015Open Access
synthetic_dim10000_relevant32_n400.with_Noise.test.txtt
Harvard Dataverse·2015Open Access
synthetic_dim10000_relevant100_n400.with_Noise.test.txtt
Harvard Dataverse·2015Open Access
synthetic_dim50000_relevant158_n400.with_Noise.test.txtt
Harvard Dataverse·2015Open Access
High level high performance computing for multitask learning of time-varying models
2014· 8 cited
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Frequent Co-authors

Ricardo Ñanculef(14), Claudio Sartori(9), Johan A. K. Suykens(9), Stefano Lodi(5), Héctor Allende(4), Alessandra Papini(2), M. G. Gasparo(2), Marco Signoretto(1), Zahra Karevan(1), Marcelo Aliquintuy(1)